基于大数据的领域本体动态构建方法研究——以养生领域本体构建为例  

Research on Dynamic Construction of Domain Ontology Based on Big Data:A Case Study of Health Preserving Domain Ontology Construction

作　　者：付苓[1] 

机构地区：[1]首都图书馆,北京100021

出　　处：《情报理论与实践》2018年第1期135-138,共4页Information Studies:Theory & Application

基　　金：国家社会科学基金重大项目"面向大数据的单元信息组织体系研究"的成果之一;项目编号:14ATQ003

摘　　要：[目的/意义]为了满足用户从大量数据中快速有效获取有价值信息的需求,提出一种遵循大数据特征的领域本体构建方法。[方法/过程]复用知识资源和从大数据获取知识相结合,提出了基于大数据的本体构建方法,为有效地构建领域本体提供了一个可扩展的解决方案。以养生领域为例,阐述提出的方法在构建大数据场景中养生领域本体的应用。[结果/结论]提出的方法可以更好地表示大数据知识,高效地管理大数据,有助于从各种数据源提取有价值的信息,为特定领域本体在大数据场景中的语义应用提供基础。[ Purpose/significance ] In order to meet users＇ demand of rapidly and efficiently obtaining valuable information from big data, this paper proposes a domain ontology construction method which follows the characteristics of big data. [ Method/ process] Considering the reuse of knowledge resources and the acquisition of knowledge from big data, the paper proposes an ontol- ogy construction method based on big data, which provides an extensible solution for efficiently building domain ontology. Taking health preserving domain for an example, the paper expounds the application of the method in the ontology construction in big data scenarios. [ Result/conclusion] The proposed method can better express big data knowledge, manage large data efficiently, helps to extract valuable information from various sources, and provides the basis for the semantic application of domain ontology in big data scenarios.

关 键 词：大数据 领域本体 知识资源 本体构建 动态构建 案例研究 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP391.1[自动化与计算机技术—计算机科学与技术]